Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Subatomic Particles03:37

Subatomic Particles

113.1K
Dalton was only partially correct about the particles that make up matter. All matter is composed of atoms, and atoms are composed of three smaller subatomic particles: protons, neutrons, and electrons. These three particles account for the mass and the charge of an atom.
113.1K
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

1.6K
There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
1.6K
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

2.0K
Detectors in gas chromatography (GC) help identify and quantify the components of a mixture by translating chemical properties into measurable signals, which are displayed on a chromatogram. Detectors can be categorized into two main types: destructive and non-destructive.
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...
2.0K
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

1.2K
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
1.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Sustainable AFM-Based Nanolithography on Chitosan Thin Films for 2.5D and 3D Nanostructure Fabrication.

Nanomaterials (Basel, Switzerland)·2026
Same author

Chitosan Nanoparticles Unlock the Antioxidant Potential of Epigallocatechin Gallate in Pancreatic and Hepatic Cancer Cell Models.

ACS omega·2026
Same author

Structural and Physical Properties of Chitosan Films Containing UV-Driven <i>In Situ</i> Growth of Silver Nanoparticles.

ACS omega·2026
Same author

Measurement of Percentage Depth-Dose Distributions in Clinical Dosimetry: Conventional Techniques and Emerging Sensor Technologies.

Sensors (Basel, Switzerland)·2026
Same author

Recent applications of magnetic iron oxide nanoparticles for cerebral blood volume quantification in functional magnetic resonance imaging.

Ibrain·2025
Same author

Microdosimetry investigation of target fragments in proton therapy, assessing the impact of the detector type.

Physics in medicine and biology·2025

相关实验视频

Updated: Feb 4, 2026

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.3K

在激光等离子体实验中的多过钻石阵列飞行时间粒子探测器.

Angelo M Raso1,2, Edoardo Domenicone3,4,5, Giada Petringa6

  • 1Department of Industrial Engineering, University of Rome "Tor Vergata," Via del Politecnico 1, 00133 Rome, Italy.

The Review of scientific instruments
|February 2, 2026
PubMed
概括

一种新的多镜钻石阵列 (MFDA) 通过在飞行时间测量中实现粒子分辨,改善离子分析来增强激光诱导的等离子诊断.

更多相关视频

Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

2.4K
Encapsulation and Permeability Characteristics of Plasma Polymerized Hollow Particles
09:27

Encapsulation and Permeability Characteristics of Plasma Polymerized Hollow Particles

Published on: August 16, 2012

11.2K

相关实验视频

Last Updated: Feb 4, 2026

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.3K
Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

2.4K
Encapsulation and Permeability Characteristics of Plasma Polymerized Hollow Particles
09:27

Encapsulation and Permeability Characteristics of Plasma Polymerized Hollow Particles

Published on: August 16, 2012

11.2K

科学领域:

  • 等离子体物理学的物理学
  • 激光-物质相互作用
  • 粒子诊断 粒子诊断 粒子诊断

背景情况:

  • 实时诊断对于分析激光诱导等离子体实验至关重要.
  • 飞行时间 (TOF) 探测器可提供可靠的粒子束特性测量.
  • 标准TOF探测器缺乏区分不同类型的粒子的能力.

研究的目的:

  • 开发一种新型的诊断系统,用于激光诱导等离子体中增强粒子歧视.
  • 为了克服传统的飞行时间探测器的局限性.
  • 为了能够对激光照射目标的带电粒子排放进行详细分析.

主要方法:

  • 开发一个多过器钻石阵列 (MFDA),使用六个钻石探测器和不同厚度的片.
  • 利用粒子停止功率的差异进行歧视.
  • 在布拉格阿斯特里克斯激光系统进行实验测试和数据分析.
  • 使用森抛物线光谱仪和CR-39探测器进行交叉验证.

主要成果:

  • 美国MFDA成功展示了粒子分辨能力.
  • 数据分析提供了关于离子束特性和射击对射击可重现性的见解.
  • 交叉验证证实了MFDA系统的可靠性和准确性.

结论:

  • 多波钻石阵列代表了激光诱导等离子实时离子诊断的重大进步.
  • 这项技术通过提供粒子特定数据来增强对激光物质相互作用的理解.
  • MFDA为未来的核聚变能源研究和其他需要精确离子分析的应用提供了强大的解决方案.